```json { "table_name": "olympic_table_tennis_medals_1988_2024", "primary_key": "year,event,medal", "candidates": [ { "rank": 0, "partition_key": null, "partition_key_label": null, "partition_key_reasoning": "This is a small dimension table (132 rows) representing Olympic table tennis medal results. No single column serves as a unique identifier — the composite key (year, event, medal) is required to uniquely identify each row. For dimension tables of this size, partitioning is unnecessary and would create excessive overhead. The table is best stored as a single file.", "clustering_key": null, "clustering_key_label": null, "clustering_key_reasoning": "Dimension tables typically do not require internal sorting. The natural access pattern is lookup by the composite key (year, event, medal) or filtering by individual dimensions like year or country. No clustering key is needed.", "world_line": null, "session_column": null, "confidence": "HIGH", "notes": "This is a reference/dimension table cataloging Olympic table tennis medals from 1988-2024. The composite key (year, event, medal) uniquely identifies each medal award. The table contains 132 rows with no natural single-column identifier — year has RPUV=13.2, event has RPUV=18.86, and medal has RPUV=44. None of these alone uniquely identifies a row. The table is small enough that partitioning would be counterproductive. Typical queries would filter by year, country, or event type rather than requiring partitioned access." } ] } ```